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• W2161448051 abstract "Anchoring of proteins to the extracytosolic leaflet of membranes via C-terminal attachment of glycosylphosphatidylinositol (GPI) is ubiquitous and essential in eukaryotes. The signal for GPI-anchoring is confined to the C-terminus of the target protein. In order to identify anchoring signals in silico, we have trained neural networks on known GPI-anchored proteins, systematically optimizing input parameters.A Kohonen self-organizing map, GPI-SOM, was developed that predicts GPI-anchored proteins with high accuracy. In combination with SignalP, GPI-SOM was used in genome-wide surveys for GPI-anchored proteins in diverse eukaryotes. Apart from specialized parasites, a general trend towards higher percentages of GPI-anchored proteins in larger proteomes was observed.GPI-SOM is accessible on-line at http://gpi.unibe.ch. The source code (written in C) is available on the same website.Positive training set, performance test sets and lists of predicted GPI-anchored proteins from different eukaryotes in fasta format." @default.
• W2161448051 created "2016-06-24" @default.
• W2161448051 creator A5010850019 @default.
• W2161448051 creator A5087527255 @default.
• W2161448051 date "2005-02-02" @default.
• W2161448051 modified "2023-10-17" @default.
• W2161448051 title "Identification of GPI anchor attachment signals by a Kohonen self-organizing map" @default.
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• W2161448051 doi "https://doi.org/10.1093/bioinformatics/bti299" @default.
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